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Mike Binder (UF Mathematics)

368 Little Hall

Analysis of a model of a Zika/Dengue co-circulation We analyze a system with two vector-borne diseases (Zika and Dengue) being present. We introduce both a deterministic and a stochastic model that capture the dynamics of the system. For the deterministic model, we study the existence and the stability of different equilibrium points. For the corresponding

Josephine Wairimu (University of Nairobi, Mathematics)

368 Little Hall

Modeling the interplay between mosquito behavioral adaptation, human behavior, social economic factors and Malaria control We present a study of the interplay between mosquito behavioral adaptation, bed-nets efficacy decay and coverage, human behavior, and malaria to control strategies. The development of insecticide resistance to the common insecticides in increasing in intensity threatening the gains made

AMS Fall Southeastern Sectional Meeting

University of Florida Gainesville, FL

The University of Florida will be hosting the 2019 AMS Fall Southeastern Sectional Meeting. There will be two special sessions on mathematical biology topics: Special Session on New Developments in Mathematical Biology organized by Maia Martcheva (UF), Necibe Tuncer (Florida Atlantic University), and Libin Rong (UF) Special Session on Applications of Differential Equations in Mathematical Biology organized by Nehal

Calistus Ngonghala (UF Mathematics)

368 Little Hall

Land use change, disease, and population growth in subsistence agriculture: escaping the curse of poverty trap The extremely poor generally rely on their immediate natural environment for subsistence and suffer high rates of morbidity and mortality due to infectious diseases. We present a framework for modeling the ecology of poverty, focusing on the exemplar drivers:

Math Dept Colloquium: Shigui Ruan (University of Miami, Mathematics)

339 Little Hall (The Atrium)

Modeling the Seasonal Transmission Dynamics of Measles Measles, a highly contagious infection caused by the measles virus, is a major public-health problem worldwide. Since the monthly data of measles cases exhibit a seasonally fluctuating pattern, based on the measles model in Earn et al. (Science 287(2000), 667-670) we propose a susceptible, exposed, infectious, and recovered (SEIR) model with periodic

Ulam Colloquium: Joel Cohen (Columbia University and Rockefeller University)

Variance functions and Taylor's law of fluctuation scaling The variance function of a family of nonnegative random variables (rvs) gives the variance of each rv as a function of its mean, assuming each rv has finite mean and finite variance. Variance functions were invented to assist statistical analyses of agricultural experiments. They have since (under

Maia Martcheva (UF Mathematics)

368 Little Hall

Coinfection dynamics of heroin transmission and HIV infection in a single population We propose a coinfection model of heroin abuse and HIV infection, to describe the joint spread through a single population. The unique disease-free equilibrium always exists and it is stable only if the basic reproduction numbers of heroin abuse and HIV infection are

Southeast Center for Mathematics and Biology 2020 Annual Symposium

Georgia Institute of Technology Atlanta, GA

The SCMB Annual Symposium is a forum to exchange ideas between the broader mathematics and biosystems communities. There will be plenary talks from mathematicians and biologists, organized in complementary pairs, as well as a a public lecture. These will be offered at a colloquium level of detail with an emphasis on engaging the full range of mathematical and biological researchers. A poster

Math Dept Colloquium: Chris Bauch (University of Waterloo, Applied Mathematics)

339 Little Hall (The Atrium)

Modelling interactions between disease dynamics and human social dynamics The interplay between disease dynamics and vaccinating behaviour driven by social processes has been receiving increasing attention from mathematical modellers, due to vaccine refusal and other behavioural phenomena. Vaccine scares could become more common as eradication goals are approached for more vaccine-preventable diseases, on account of

Rhonda Bacher (UF Biostatistics)

368 Little Hall

Trendy: Segmented regression analysis of gene expression dynamics High-throughput expression profiling experiments with ordered conditions (e.g. time-course or spatial-course) are becoming more common for studying detailed differentiation processes or spatial patterns. Identifying dynamic changes at both the individual gene and whole transcriptome level can provide important insights about genes, pathways, and critical time points.